I'm writing a function which takes in raw data table (contains multijson telemetry data) and reformat it to a multiple cols. I use .set MyTable <| myfunction|limit 0
to create my target table based off of the function and use update policy to alert my target table.
Here is the code :
.set-or-append MyTargetTable <|
myfunction
| limit 0
.alter table MyTargetTable policy update
@'[{ "IsEnabled": true, "Source": "raw", "Query": "myfunction()", "IsTransactional": false, "PropagateIngestionProperties": false}]'
But I'm getting ingestion failures: Here is the ingestion failure message :
Failed to invoke update policy. Target Table = 'MyTargetTable', Query = '
let raw = __table("raw", 'All', 'AllButRowStore')
| where extent_id() in (guid(659e3b3c-6859-426d-9c37-003623834455));
myfunction()': Query schema does not match table schema
I double check the query schema and target table; they are the same . I'm not sure what this error means. Also, I ran count on both the raw and mytarget tables; there are relatively large discrepancies (400 rows for My target and 2000 rows in raw table).
Any advise will be appreciated.
Generally speaking - to find the root of the mismatch between schemas, you can run something along the following lines, and filter for differences:
myfunction
| getschema
| join kind=leftouter (
table('MyTargetTable')
| getschema
) on ColumnOrdinal, ColumnType
In addition - you should make sure the output schema of the function you use in your update policy is 'stable', i.e. isn't affected by the input data
pivot()
and bag_unpack()
depends on the input data, and therefore it isn't recommended to use those in update policies.